Cloud Computing and DevOps Course with AI/ML
South Africa, Nigeria, Kenya, Uganda, Tanzania & India
0 Regenesys Alumni
Globally Recognised
Cloud Computing and DevOps Course with AI/ML Outcomes
What Our Learners Have Achieved
9 Globally Recognised Certificates
Gen AI Infused Programme
Hands-on Labs Experience
100K+ Jobs Worldwide
One of the Most High-paying Skills
Cloud Market:$680B to $1.44T by 2029
Explore the World of Cloud Computing and DevOps Course with AI/ML With Us
Everything You Need To Know
Course Overview
Course Curriculum
Tools Covered In This Course
Pricing Across The Countries
Cloud Computing Course Overview
Advance your career with our 32 weeks Cloud Computing and DevOps course with AI/ML, designed to equip you with an in-depth skill set in cloud infrastructure, DevOps practices, and AI/ML integration. You’ll cover the fundamentals of cloud computing and DevOps while mastering advanced AI/ML strategies to build scalable, secure systems with intelligent automation. With expert-led training, hands-on projects, and real-world applications using tools like AWS and Azure, this course ensures you gain the technical expertise to excel in Cloud Computing, DevOps, and AI/ML, standing out in today’s competitive tech landscape.
Live Classes
Global Certificate
Industry Expert Faculty
Workplace Readiness
Cloud Computing and DevOps Course Curriculum
- Introduction to Cloud Computing
- Cloud Service Models & AI in Cloud
- Cloud Economics and Billing
- Expert Session
- Fundamentals of AWS
- Hands-On Lab: AWS
- Fundamentals of Azure
- Hands-On Lab: Azure
- Fundamentals of GCP
- Hands-On Lab: GCP
- Introduction to Networking in the Cloud
- Hands-On Lab: Networking in Cloud
- Security Fundamentals in Cloud Computing
- Hands-On Lab: IAM on AWS
- Cloud Storage Solutions
- Hands-On Lab: Storage on AWS
- Hands-On Lab: Storage on Azure
- Industry Expert Session
Tools Covered In This Cloud Computing and DevOps Course
Pricing Across The Countries
South Africa
Nigeria
Kenya
Uganda
Tanzania
USA
India
Student Reviews
Over 10,000+ Learners
Henry Maro Machoke
Data Science
Digital Regenesys offers an inclusive, non-discriminatory learning environment with excellent facilitators. The course starts with the basics, making it ideal for beginners in Python, data science, and programming. The capstone project is comprehensive, and the program is highly affordable compared to others. I highly recommend it for anyone looking to advance their skills
Hilolimus Kimweri
Data Science
With a background in Economics and Finance, I joined Digital Regenesys to enhance my data analysis skills, crucial for fraud detection and operational decision-making. The Data Science course provided me with valuable tools like Power BI and Python, significantly improving my ability to analyze and visualize data. This knowledge not only facilitated my recent promotion but also streamlined my work across 58 branches. I highly recommend Digital Regenesys for those seeking to advance their careers through data-driven insights.
Japhet Kurgat
Cybersecurity
I completed a Cyber Security course at Digital Regenesys. The course was highly educational, with knowledgeable facilitators who explained everything in detail. Classes were recorded and uploaded to a well-organized student portal along with study materials. After passing the exams, I received a certification that has enhanced my professional profile. I highly recommend Digital Regenesys for their excellent resources, responsive facilitators, and comprehensive learning experience.
Didacus Masanja Gilya
Cybersecurity
I joined Digital Regenesys to study Cyber Security Fundamentals and the experience was overwhelming. The facilitators, especially Mr. Rakesh, were kind, and patient, and made weekly follow-ups to address any concerns. The skills I gained have significantly boosted my career and motivated me to pursue a future as a Cyber Security Analyst. I highly recommend this course to anyone interested in digital security, even beginners without an ICT background.
Effiong Udo Inyang
Data science
The Data science course taught by Dr. Laika at Digital Regenesys was truly eye-opening for me. I had no idea how important Data science has become to level up professionally. I am also planning to enrol for some other upskilling course by Digital Regenesys and would recommend this platform to almost every friend of mine.
Thibedi Grandy Mmatli
Cybersecurity
The best part about the Cybersecurity course that I took at Digital Regenesys is that my lecturer helped me greatly by solving my doubts during and outside the class as well. Vijal Mam was very helpful and she made sure that each and every student in the class understood the course properly.
Akshay Patil
Machine Learning
After completing my course in Machine Learning, I registered myself for Data Science that was taught by Dr. Laika and I have to say both my instructors were very helpful and went beyond their ways to teach me. They also helped me create a professional LinkedIn profile. I am glad that I chose Digital Regenesys for my learning courses.
Dhiraj Gaikwad
Artificial Intelligence
I heard about the Artificial Intelligence course from Digital Regenesys, as a colleague of mine did it from there. I took the admission and I must say that I got my promotion because of Digital Regenesys. The overall procedure from talking to the counselors to ending the course, it helped me learn a lot and upskill myself the way I wanted.
Mercy Monnie
Digital Marketing
Digital Regenesys gave my career a significant boost as a Stock Broker and Marketer. My venture into other businesses led me to enroll, and I'm glad I did.
Chidi Igweomoke
Cyber Security
The Cybersecurity program was truly awesome. Despite having prior experience, I learned a lot from the instructor, who took the time to practicalize concepts I found confusing. I've since taken my CEHv11 exam to further build on my skills. I highly recommend this course to anyone looking to kickstart or boost their career in cybersecurity.
Olawale Gabriel Ayorinde
Cyber Security
Your approach to explaining the complexities of cybersecurity was both insightful and informative, making it easier for me to grasp the fundamentals of this critical field.
Get Certified With UsCloud Computing and DevOps Course with AI/ML Certificate
Digital Regenesys’s Cloud Computing and DevOps Course with AI/ML equips professionals with essential skills to excel in Cloud and DevOps engineering. This certificate validates proficiency and expertise. Learners can use it to demonstrate that they have completed the training and acquired the necessary skills and knowledge to excel.
Key Takeaways
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of Digital Regenesys.
Frequently Asked Questions
- Cloud Computing and DevOps course with AI/ML Certification Course
- Eligibility and Enrolment
- Tools Covered
- Duration and Accessibility
- Cloud Computing and DevOps course with AI/ML Certification Courses
Cloud Computing and DevOps course with AI/ML Certification Course
What is Cloud Computing and DevOps Course with AI/ML?
The Cloud Computing and DevOps Course with AI/ML by Regenesys equips you to design and scale cloud infrastructures while integrating AI in DevOps. You’ll develop a DevOps pipeline and learn AI-powered monitoring through hands-on projects with insights from industry experts.
What can I expect to learn from a cloud computing course?
A cloud computing course provides in-depth training in cloud infrastructure, services, and platforms like AWS, Azure, and GCP. You’ll learn key concepts such as cloud architecture, networking, security, and storage, as well as practical skills in deploying, managing, and scaling cloud solutions. The course also covers cost optimization, automation, and hands-on labs to give you real-world experience.
What is the value of a cloud computing certificate?
A cloud computing certificate validates your expertise in designing, implementing, and managing cloud solutions. It demonstrates your proficiency in cloud platforms like AWS or Azure and makes you more competitive in the job market. A recognised certificate can open doors to roles such as cloud architect, cloud engineer, or DevOps specialist.
How is the course structured?
The course is divided into modules focusing on an overview of in-depth cloud computing, advanced cloud concepts, and AI/ML concepts for cloud professionals. It includes lectures, hands-on exercises, coding assignments, and projects to reinforce learning and practical application of concepts.
FAQ
- Cloud Computing and DevOps course with AI/ML Certification Course
- Eligibility and Enrolment
- Tools Covered
- Duration and Accessibility
- Cloud Computing and DevOps course with AI/ML Certification Courses
Cloud Computing and DevOps Course with AI/ML
The Cloud Computing and DevOps Course with AI/ML by Regenesys equips you to design, manage, and scale cloud infrastructures using AWS and Azure. Covering AIOps, AI-driven DevOps pipelines, and real-world workflows, the course includes expert-led sessions and a Capstone Project. It prepares you for roles like DevOps Engineer or Azure Cloud Administrator, with practical expertise in AI and cloud computing.
- South Africa, Nigeria, Kenya
- 300,000+ Regenesys Alumni
- Globally Recognised
Cloud Computing and DevOps Course with AI/MLOutcomes
- 9 Globally Recognised Certificates
- Gen AI Infused Programme
- Hands-on Labs Experience
- 100K+ Jobs Worldwide
- One of the Most High-paying Skills
- Cloud Market:$680B to $1.44T by 2029
Explore the World of Cloud Computing and DevOps Course with AI/ML With Us
Course Overview
Advance your career with our 9-month Cloud Computing and DevOps course with AI/ML, designed to equip you with an in-depth skill set in cloud infrastructure, DevOps practices, and AI/ML integration. You’ll cover the fundamentals of cloud computing and DevOps while mastering advanced AI/ML strategies to build scalable, secure systems with intelligent automation. With expert-led training, hands-on projects, and real-world applications using tools like AWS and Azure, this course ensures you gain the technical expertise to excel in Cloud Computing, DevOps, and AI/ML, standing out in today’s competitive tech landscape.
- Live Classes
- Global Certificate
- Industry Expert Faculty
- Career Counselling
Cloud Computing and DevOps Course with AI/ML Curriculum
1.Cloud Foundations and Essentials
Introduction to Cloud Computing
Cloud Service Models & AI in Cloud
Cloud Economics and Billing
Expert Session
Fundamentals of AWS
Hands-On Lab: AWS
Fundamentals of Azure
Hands -on lab: Azure
Fundamentals of GCP
Hands-On Lab: GCP
Introduction to Networking in the Cloud
Hands-On Lab: Networking in Cloud
Security Fundamentals in Cloud Computing
Hands-On Lab: IAM on AWS
Cloud Storage Solutions
Hands-On Lab: Storage on AWS
Hands-On Lab: Storage on Azure
Industry Expert Session
2. Advanced Cloud Engineering & DevOps
Introduction to DevOps
Introduction to Linux
Essential Linux Commands and Shell Scripting
Introduction to Programming
Introduction to Python & Setup
Basic Data Types & Variables
Control Structures: Conditionals
Loops in Python
Functions & Modules
Basic Data Structures: Lists, Tuples & Dictionaries
Introduction to Git and Version Control
Introduction to GitHub
Introduction to CI/CD with Jenkins and AWS CodePipeline
Hands-On Lab: CI/CD Pipeline with Jenkins & CodePipeline
Creation and managing containers using Docker
Scaling and managing applications using Kubernetes
Hands-On Lab: Containerization & Orchestration
Introduction to Terraform
Understanding Reusability, IaC, and Infrastructures using Terraform
Hands-On Lab: Infrastructure as Code with Terraform
Introduction to Ansible
Hands-On Lab: Configuration Management with Ansible
Introduction to AIOps and AI in DevOps
Hands-On Lab: Implementing AI in DevOps
Capstone Project: Full DevOps Pipeline with AI Integration
3. AI & Machine Learning for Cloud Professionals
Introduction to AI/ML
AI and ML with AWS
Data Preparation and Feature Engineering in AWS
Data Preparation and Feature Engineering in AWS
Training AI Models on AWS - Handson
Deploying and Managing AI Models on AWS
Hands-On Lab: End-to-End AI Model Deployment on AWS ( Optional depends on the lab expense )
Expert Session-1 Applications of AWS in AI/ML
Expert Session-2 How generative AI powers systems like ChatGPT using AWS.
MLOps with AWS
Leveraging Generative AI to Become a 10x Cloud Engineer
Tools Covered In This Course
Cloud Fundamentals and Essentials
AWS Tools:
- Compute: EC2
- Storage: S3, EBS
- Networking: VPC, DNS, Load Balancers
- Security: IAM
- Cost Management: AWS Cost Calculator
Azure Tools:
- Compute: Virtual Machines, Managed Disks
- Storage: Blob Storage
- Networking: Azure VNet
- Security: Azure IAM, Load Balancers
GCP Tools:
- Compute: Compute Engine
- Storage: Cloud Storage, Cloud SQL
- Networking: VPC, DNS-/
General Cloud Tools:
- Networking: DNS, Load Balancers, Virtual Private Clouds (VPC)
- Security: IAM (across AWS, Azure, GCP)
- Cost Management: Cloud cost calculators (AWS, Azure, GCP)
Advanced Cloud Computing & DevOps
- Linux:
- Command-line tools, file permissions, shell scripting.
- Git:
- Version control, project management.
- Python:
- Programming and automation.
- Jenkins:
- CI/CD pipeline setup and management.
- AWS CodePipeline:
- Continuous deployment automation.
- Docker:
- Containerisation of applications.
- Kubernetes:
- Orchestration of containers.
- Terraform:
- Infrastructure as Code (IaC) for AWS resources.
- Ansible:
- Configuration management and automation.
- AI Tools in DevOps:
- Monitoring, alerting, and automation.
Ai & Machine learning for Cloud Professionals
- Amazon SageMaker: Used for model building, training, and deployment.
- AWS Glue: Used for data collection, cleaning, and preprocessing.
- AWS Data Pipeline: For managing data pipelines.
- AWS Comprehend: For text analytics.
- AWS Rekognition: For image and video analytics.
- AWS S3: For storage in end-to-end AI model deployments.
- AWS Lambda: Used for serverless model deployment and integration.
- AWS CloudWatch: For monitoring and managing deployed models.
- SageMaker Model Monitor: For managing post-deployment models and ensuring model performance.
- AWS CodePipeline: For automating CI/CD pipelines in MLOps.
- AWS CodeWhisperer: For automating coding tasks with AI.
World Class Faculty
Pricing Across The Countries
Cloud Computing and DevOps Course with AI/ML Certificate
Get Certified With Us
Digital Regenesys’s Cloud Computing and DevOps Course with AI/ML equips professionals with essential skills to excel in Cloud and DevOps engineering. This certificate validates proficiency and expertise. Learners can use it to demonstrate that they have completed the training and acquired the necessary skills and knowledge to excel.
Key Takeaways
- Understand cloud fundamentals and master AWS, Azure, and GCP platforms.
- Learn cloud economics, cost optimisation, and billing strategies.
- Gain hands-on experience in cloud networking, security, and IAM management.
- Master DevOps tools like Jenkins, Docker, Kubernetes, Terraform, and Ansible.
Frequently Asked Questions
Cloud Computing and DevOps Course with AI/ML
What is Cloud Computing and DevOps Course with AI/ML?
The Cloud Computing and DevOps Course with AI/ML by Regenesys equips you to design and scale cloud infrastructures while integrating AI in DevOps. You’ll develop a DevOps pipeline and learn AI-powered monitoring through hands-on projects with insights from industry experts.
What can I expect to learn from a cloud computing course?
A cloud computing course provides in-depth training in cloud infrastructure, services, and platforms like AWS, Azure, and GCP. You’ll learn key concepts such as cloud architecture, networking, security, and storage, as well as practical skills in deploying, managing, and scaling cloud solutions. The course also covers cost optimization, automation, and hands-on labs to give you real-world experience.
What is the value of a cloud computing certificate?
A cloud computing certificate validates your expertise in designing, implementing, and managing cloud solutions. It demonstrates your proficiency in cloud platforms like AWS or Azure and makes you more competitive in the job market. A recognised certificate can open doors to roles such as cloud architect, cloud engineer, or DevOps specialist.
How is the course structured?
The course is divided into modules focusing on an overview of in-depth cloud computing, advanced cloud concepts, and AI/ML concepts for cloud professionals. It includes lectures, hands-on exercises, coding assignments, and projects to reinforce learning and practical application of concepts.
Eligibility and Enrolment
Who can enrol in the Cloud Computing and DevOps Course with AI/ML?
This course is ideal for anyone, whether you're new to programming or have experience and are eager to expand your knowledge in cloud computing & DevOps & AI/ML.
Is any prior experience needed for this course?
No prior experience is needed—this is a zero-to-hero course designed to take you from beginner to expert in cloud computing.
How can I enrol in the Cloud Computing and DevOps Course with AI/ML at Digital Regenesys?
You can enrol by visiting the Digital Regenesys website and navigating the course page. Then, follow the registration and payment instructions to complete the enrolment process.
Are there any laptop requirements for this course?
Laptop Requirements: Processor: Intel Core i5 (10th gen or newer) or AMD Ryzen 5, RAM: 8 GB, Storage: 256 GB SSD, Operating System: Windows 10/11 or macOS Catalina or newer
Tools Covered
What tools will be covered in the Cloud Computing and DevOps Course with AI/ML?
The Cloud Computing and DevOps Course with AI/ML covers tools like AWS, Azure, GCP, EC2, S3, RDS, and many more.
How will the Cloud Computing and DevOps Course with AI/ML help me master these tools?
The Cloud Computing and DevOps Course with AI/ML will help you master these tools by providing practical training in cloud platforms, DevOps methodologies, and AI/ML frameworks. It will ensure you can effectively deploy and manage advanced technologies in real-world environments.
Are all tools covered in this course according to industry standards?
Yes, the course covers tools that align with industry standards, ensuring you gain relevant skills and knowledge that meet current market demands in Cloud, DevOps, and AI/ML.
Duration & Accessibility
What is the duration of the Cloud Computing and DevOps Course with AI/ML at Digital Regenesys?
The duration of the Cloud Computing and DevOps Course with AI/ML is 9 months.
Can I access course materials and lectures online?
Yes, our course is entirely online, and materials and lectures are also easily accessible online through our learning management system (LMS). This allows you to study at your own pace and convenience from anywhere with an internet connection.
How long do I have access to the course materials after completing the course?
You will have access to the course materials for 1 year after completing the course, allowing you to review and revisit concepts as needed to reinforce your learning.
Cloud Computing and DevOps Course with AI/ML
What is the benefit of enroling in an online Cloud Computing and DevOps Course with AI/ML?
Cloud Computing and DevOps Course with AI/ML online offer a convenient and flexible way to enhance your knowledge or learn new skills.
Are there practical applications and projects in online Cloud Computing and DevOps Course with AI/ML?
Digital Regenesys’s Online Cloud Computing and DevOps Course with AI/ML includes expert sessions, capstone projects, and real-world applications. These practical components allow learners to apply their knowledge to solve actual problems, enhancing their practical skills.
Are there expert sessions included in online Cloud Computing and DevOps Course with AI/ML?
Yes, our online Cloud Computing and DevOps Course with AI/ML includes three expert-led sessions designed to provide invaluable insights. These sessions feature industry leaders who will share their expertise on the latest trends, best practices, and real-world applications in cloud computing and DevOps. This interactive format enriches your learning experience and allows you to engage with professionals shaping the future of technology.
Unlock the power of learning with our cutting - edge online courses, designed to inspire, engage, and transform the way you learn and grow!
South Africa Corporate Office
165 west Street, Sandton, Johannesburg South Africa, 2031
Nigeria Corporate Office
8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria
India Corporate Office
Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705
Kenya Corporate Office
1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya
Croatia Corporate Office
SV. Bartula 131, 23000 Kozino, Zadar, Croatia
Uganda Corporate Office
Arie Tower, 6th Floor, 16 Mackinnon Rd, Kampala, Uganda
Tanzania Corporate Office
G11 Ground Floor, Kwik Spaces, 1040 Haile Selassie Road, Masaki Dar es Salaam, 16572
Unlock the power of learning with our cutting - edge online courses, designed to inspire, engage, and transform the way you learn and grow!
South Africa Corporate Office
165 west Street, Sandton, Johannesburg South Africa, 2031
Nigeria Corporate Office
8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria
India Corporate Office
Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705
Kenya Corporate Office
1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya
Croatia Corporate Office
SV. Bartula 131, 23000 Kozino, Zadar, Croatia
Uganda Corporate Office
Arie Tower, 6th Floor, 16 Mackinnon Rd, Kampala, Uganda
Tanzania Corporate Office
G11 Ground Floor, Kwik Spaces, 1040 Haile Selassie Road, Masaki Dar es Salaam, 16572